Abhishek Gairola

Software Engineer

Hyderabad, Telangana, India5 yrs 4 mos experience

Key Highlights

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and E-commerce solutions.

Amazon Web Services (aws)Python (programming Language)Spring Boot

GCS SFTPSystems DesignJavaScriptTypeScript (CDK)MySQLELK stackTypeScriptCDKGo (Programming Language)kafkaRedisAlgorithmsFastAPIData StructuresJava

SWE @ Google

5 yrs 4 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 3 mos

Current Experience

Feb 2025 – Present · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

GCS SFTP
Provide a fully-managed, secure, and cloud-native solution for transferring data into and out of GCP using SFTP

GCS SFTPAmazon Web Services (AWS)

Mar 2023 – Jan 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Home Page & Merchandising Platform
Worked as a backend Engineer for HPM Team. We were responsible for powering all the Product Info, managing Banner and Widgets and Homepage.

Python (Programming Language)Systems Design

May 2021 – Dec 2022 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

Working at CSE Polaris , worked on Spring Boot , JS , TypeScript ( CDK ) and Python . Worked on creating a backend system via CDK to create strategy that recommends lowest Price Per Unit Product . Worked on migrating from legacy code to tier 1 API service , hence reducing the latency of the overall system . Made UI changes on Retail Website

Spring BootAmazon Web Services (AWS)JavaScriptTypeScript (CDK)Python (Programming Language)

Aug 2020 – Apr 2021 · 8 mos · Bengaluru, Karnataka, India

Worked on KYC platform team focused on collecting and verifying huge data from multiple vendors , used Spring Boot and ELK stack for extracting data and updating our Golden Database ( Oracle ).
Personally worked on onboarding to a new vendor , calling their API's and creating a fallback mechanism to avoid duplication of data in our database hence avoiding API calls ( quite costly ) , wrote scripts to generate a workflows , used Kibana Dashboard for integration testing and Logstash to add new attributes to the existing Elastic Search Data

Spring BootMySQLELK stack